code: def get_shifted_label(data_df, shifts=5, col_shift="LABEL0"):
      return (
          data_df[[col_shift]]
          .groupby("instrument")
          .apply(lambda df: df.shift(shifts))
      )
  
imports: from pathlib import Path
  from typing import Union
  import numpy
  import pandas
  import tensorflow.compat.v1
  import data_formatters.base
  import expt_settings.configs
  import libs.hyperparam_opt
  import libs.tft_model
  import libs.utils
  import os
  import datetime
  from qlib.model.base import ModelFT
  from qlib.data.dataset import DatasetH
  from qlib.data.dataset.handler import DataHandlerLP
label_desc: Use image node_id 1 for calling a global function with example usage: get_shifted_label(data_df, shifts, col_shift) and returns: data_df